Doubly Stochastic Processing on Jacket Matrices

  • Authors:

  • Jia Hou;Moon Ho Lee;Kwangjae Lee

  • Affiliations:

  • The author is with School of Electronics & Information, Soochow University, Suzhou, 215006, China. E-mail: jiahou@chonbuk.ac.kr,;The author is with Institute of Information & Communication, Chonbuk National University, Chonju, 561-756, Korea.,;The author is with the Dept. of Infor. & Telecom. Engineering, Hanlyo University, Korea.

  • Venue:
  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Year:
  • 2006

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Abstract

In this letter, we define the generalized doubly stochastic processing via Jacket matrices of order-2n and 2n with the integer, n ≥ 2. Different from the Hadamard factorization scheme, we propose a more general case to obtain a set of doubly stochastic matrices according to decomposition of the fundaments of Jacket matrices. From order-2n and order-2n Jacket matrices, we always have the orthostochastoc case, which is the same as that of the Hadamard matrices, if the eigenvalue λ1 = 1, the other ones are zeros. In the case of doubly stochastic, the eigenvalues should lead to nonnegative elements in the probability matrix. The results can be applied to stochastic signal processing, pattern analysis and orthogonal designs.